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/*
* Copyright (c) 2017 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_RESHAPE_LAYER_DATASET
#define ARM_COMPUTE_TEST_RESHAPE_LAYER_DATASET
#include "utils/TypePrinter.h"
#include "arm_compute/core/TensorShape.h"
namespace arm_compute
{
namespace test
{
namespace datasets
{
class ReshapeLayerDataset
{
public:
using type = std::tuple<TensorShape, TensorShape>;
struct iterator
{
iterator(std::vector<TensorShape>::const_iterator in_it, std::vector<TensorShape>::const_iterator out_it)
: _in_it{ std::move(in_it) }, _out_it{ std::move(out_it) }
{
}
std::string description() const
{
std::stringstream description;
description << "In=" << *_in_it << ":";
description << "Out=" << *_out_it;
return description.str();
}
ReshapeLayerDataset::type operator*() const
{
return std::make_tuple(*_in_it, *_out_it);
}
iterator &operator++()
{
++_in_it;
++_out_it;
return *this;
}
private:
std::vector<TensorShape>::const_iterator _in_it;
std::vector<TensorShape>::const_iterator _out_it;
};
iterator begin() const
{
return iterator(_in_shapes.begin(), _out_shapes.begin());
}
int size() const
{
return std::min(_in_shapes.size(), _out_shapes.size());
}
void add_config(TensorShape in, TensorShape out)
{
_in_shapes.emplace_back(std::move(in));
_out_shapes.emplace_back(std::move(out));
}
protected:
ReshapeLayerDataset() = default;
ReshapeLayerDataset(ReshapeLayerDataset &&) = default;
private:
std::vector<TensorShape> _in_shapes{};
std::vector<TensorShape> _out_shapes{};
};
class SmallReshapeLayerDataset final : public ReshapeLayerDataset
{
public:
SmallReshapeLayerDataset()
{
add_config(TensorShape(16U), TensorShape(4U, 2U, 2U));
add_config(TensorShape(2U, 2U, 8U), TensorShape(4U, 8U));
add_config(TensorShape(3U, 3U, 16U), TensorShape(144U));
add_config(TensorShape(17U, 3U, 12U), TensorShape(1U, 1U, 612U));
add_config(TensorShape(26U, 26U, 32U), TensorShape(13U, 13U, 128U));
add_config(TensorShape(31U, 23U, 4U, 7U), TensorShape(2U, 14U, 713U));
}
};
} // namespace datasets
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_RESHAPE_LAYER_DATASET */